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To meet the distributional assumptions of the variance-decomposition tests, all phenotypes – the MetS traits as well as the percent-methylation measures – were normalized by inverse-Gaussian (rank-normal) transformation.
The measures were normalized in order to cover the range [0,1].
PPT and PPTol measures were normalized to the BL value on Day 1 before analyses.
Model performance measures were normalized by relating them to an upper and a lower benchmark representing a well-informed and an uninformed model calibration.
Expression measures were normalized by the Robust Multi-array Average (RMA) [37] implemented in Bioconductor packages [38].
Log10 transformed measures were normalized to the log10 of the width of the midbrain at which the measurement was taken (log OT/log MB).
Similar(40)
These measures are normalized on a zero-one scale.
Both measures are normalized so the sum of all TI and all DI separately is always equal to 1 at any given time as described under Methods.
In order to analyze the gain each measures was normalized into the interval (0, 1).
qPCR of glyceraldehyde-3-phosphate dehydrogenase (gapdh) was always run in parallel with that of the other genes of interest and levels of gene expression measured were normalized to the housekeeping gene gapdh.
For comparisons, all cytokines measured were normalized to the total protein content of each homogenate.
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CEO of Professional Science Editing for Scientists @ prosciediting.com